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Ml Data Associate Jobs in Carson, CA (NOW HIRING)

SAP Business Data Cloud (BDC) Consultant

Irvine, CA · On-site

$71.75 - $93.50/hr

... ML pipelines and business content activation. Practice Development & Thought Leadership ... Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ...

Senior AI Engineer

Pasadena, CA · On-site

$150 - $275/hr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical ...

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

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Ml Data Associate information

See Carson, CA salary details

$60.1K

$71.2K

$134.9K

How much do ml data associate jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ml data associate in Carson, CA is $71,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $62,200.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Carson, CA?

For Ml Data Associate jobs in Carson, CA, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Carson, CA look for?

The top searched job categories for Ml Data Associate jobs in Carson, CA are:

What cities near Carson, CA are hiring for Ml Data Associate jobs?

Cities near Carson, CA with the most Ml Data Associate job openings:

Data Scientist, Modeler

The Wonderful Company LLC

Los Angeles, CA • On-site

$100 - $135/hr

Other

Re-posted 23 days ago


The Wonderful Company rating

6.5

Company rating: 6.5 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

287th of 443 rated food and drinks producers


Job description

Data Scientist, Modeler|Teleflora# Data Scientist, ModelerTeleflora | Los Angeles, CA | Research/science/R&D | Associate | Full-time | Job ID: REF7301NShare* Email## Company DescriptionTeleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We’ve been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we’ve become the world’s largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to hand-arrange and hand deliver every bouquet!We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows.This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is the ability to translate complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results, while not owning test execution.This position will be based at our West Los Angeles, CA office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday.## Job Description**Forecasting & Budgeting (Core Ownership)*** Own forecasting models for: + Revenue, orders, conversion rates, and AOV + Marketing performance and demand planning* Partner with Finance and Leadership on budgeting and planning cycles* Build scenario models to support strategic decisions* Continuously improve forecast accuracy using statistical and machine learning techniques**Customer & LTV Modeling (Core Requirement)*** Design and maintain **Customer Lifetime Value (LTV) models*** Perform cohort analysis, retention modeling, and customer segmentation* Identify key drivers of long-term customer value and profitability* Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategies**AI / LLM Strategy & Implementation*** Lead adoption of AI/LLM capabilities across analytics and business workflows* Identify and implement use cases such as: + Automated insight generation and reporting + Natural language querying (NL → SQL) + Customer behavior summarization and segmentation* Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.)* Critically evaluate AI-generated outputs for **accuracy, plausibility, and business relevance****Advanced Analytics & Modeling*** Develop models for: + Demand forecasting and seasonality + Customer behavior and conversion drivers* Leverage GCP/BigQuery for large-scale data analysis* Identify key drivers of performance across product, pricing, and customer behavior**A/B Test Validation & Experimentation Support*** Validate statistical significance and methodology of A/B tests* Ensure accuracy and consistency of test readouts* Define guardrails and best practices for experimentation measurement* Partner with Product and Analytics teams (without owning test execution)**Communication & Executive Storytelling (Critical)*** Translate complex analyses into **clear, actionable insights for non-technical stakeholders*** Develop **high-quality presentations and narratives** for senior leadership and executives* Clearly articulate assumptions, risks, and confidence levels in models and forecasts* Influence decision-making through structured, data-driven storytelling**Data Strategy & Cross-Functional Collaboration*** Work closely with: + Data Analytics Manager (India) + Data Engineering / DW team + Product, Marketing, and Finance stakeholders* Help define scalable data models and structures to support analytics and AI use cases**Tooling & Infrastructure*** Build models and workflows using: + Python (preferred) or R + SQL / BigQuery (GCP ecosystem)* Work with modern AI tooling: + LLM APIs (OpenAI, Claude, Gemini)* Help establish scalable pipelines for both traditional ML and LLM-based systems* Establish best practices for prompt design, validation, and governance## Qualifications* 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business)* Experience presenting to senior executives and driving decisions* Strong experience with: + Forecasting and time series modeling + **Customer Lifetime Value (LTV) modeling** + Python and SQL (BigQuery preferred) + Statistical analysis and experimentation* Proven ability to build **executive-level presentations and communicate complex insights clearly*** Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.)* Experience building or prototyping AI-powered workflows or applications* Strong ability to **evaluate and validate AI-generated outputs for accuracy and plausibility*** Understanding of: + Prompt engineering + Model limitations (hallucination, bias, cost tradeoffs)* Excellent verbal and written communication skills* Ability to influence stakeholders across Product, Marketing, Finance, and Leadership* Master's degree (or foreign equivalent) in Data Science or Statistics**Preferred:*** Experience with GCP ecosystem* Exposure to MLOps or productionizing models* Experience in eCommerce or high-volume consumer environmentsPay Range: $100,000- $135,000. Final compensation will be dependent upon skills & experience.Say everything and share your "Love Out Loud(TM)" with the gift of Teleflora(R) flowers—all made by hand and delivered by hand by your local florist. With more than 10,000 member florists in North America alone, Teleflora offers the kind of personal touches, artistry and expertise you expect from a trusted neighborhood florist—even if that neighborhood is across the country. No prepackaged flowers in nondescript boxes dropped on your doorstep—Teleflora's network of professional florists creates artistic arrangements personally delivered in a vase, often on the same day. Teleflora makes every day an occasion with a two-in-one gift that includes a multipurpose keepsake container for long-lasting enjoyment. For more, visit: www.teleflora.com, or follow us on Instagram and Facebook and tag your own #LoveOutLoud moment.Telefora is part of The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Company’s connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley. To view the current Corporate Social Responsibility report, visit csr.wonderful.com.The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.#LI-JB1#LI-HybridEEO is the law -* **Career Advancement Opportunities:** Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units.* **Focused Learning #J-18808-Ljbffr

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